{ "culture": "en-US", "name": "hls_s1_dswx", "guid": "C480177A-D7E1-40D1-8045-8C686EC60D3D", "catalogPath": "", "snippet": "OPERA Dynamic Surface Water eXtent from Harmonized Landsat/Sentinel-2 (DSWx-HLS) and Sentinel-1 (DSWx-S1)", "description": "
Date of Images<\/b><\/div>
Post-Event: <\/i>July 4, 2025; July 5, 2025, July 6, 2025; July 7, 2025; July 8, 2025

Pre-Event: <\/i>2025-06-17, 2025-06-19, 2025-06-22, 2025-06-27, 2025-06-29, July 1, 2025, July 2, 2025<\/div>

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Summary:<\/b><\/div>

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The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology created maps of surface water extent impacted by the flooding in Central Texas on July 4, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product and Sentinel-1 (DSWx-S1). <\/div>

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The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind.  Use at your own risk.<\/div>

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The OPERA DSWx-HLS and DSWx-S1 were used to identify surface water for the flooding event. The images provided are a mosaic of aforementioned OPERA products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files. <\/div>

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Binary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for  water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification.<\/div>

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Binary Water (BWTR) Layer Values:<\/div>